Volume 12 - Special Issue Vol.12                   irje 2017, 12 - Special Issue Vol.12: 20-31 | Back to browse issues page

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Yazdi Feyzabadi V, Mehrolhassani M, Haghdoost A, Bahrampour M. The Trend of Impoverishing Effects of Out-Of-Pocket Health Expenditure in Iranian Provinces in 2008-2014 . irje 2017; 12 :20-31
URL: http://irje.tums.ac.ir/article-1-5637-en.html
1- دکترای تخصصی سیاست‌گذاری سلامت، مرکز تحقیقات عوامل اجتماعی موثر بر سلامت، پژوهشکده آینده پژوهشی در سلامت، دانشگاه علوم پزشکی کرمان، کرمان، ایران
2- دانشــیار مدیریت خدمات بهداشــتی درمانی، مرکز تحقیقات انفورماتیک پزشکی، پژوهشکده آینده پژوهی در سلامت، دانشگاه علوم پزشکی کرمان، ایران
3- استاد اپیدمیولوژی، مرکز تحقیقات مدلسازی در سلامت، پژوهشکده آینده پژوهشی در سلامت، دانشگاه علوم پزشکی کرمان، کرمان، ایران
4- کارشناس ارشد اقتصاد سلامت، مرکز تحقیقات مدیریت ارائه خدمات سلامت، پژوهشکده آینده پژوهی در سلامت، دانشگاه علوم پزشکی کرمان، ایران , bahrampour.mina@gmail.com
Abstract:   (9530 Views)

Background and Objectives: One of the fair financial protection indexes in monitoring health systems is estimating impoverishment due to health care expenditure. The aim of this study was to measure the percentage of households impoverished due to out-of-pocket(OOP) payments in Iran provinces during2008-2014.

Methods: The present retrospective descriptive study was conducted based on data from Household Income and Expenditure Survey in both rural and urban households. The proportion of households that moved below the poverty line after deducting health care costs was calculated. The poverty line for urban and rural areas was calculated based on household food expenditure. To show the provincial dispersion of the index during this period, the coefficient of variation(CV) was used. Mann-WhitneyU test and descriptive statistics were used to analyze the data.

Results: Golestan, North Khorasan, and Kerman had the highest impoverishment rate due to OOP Moreover, Alborz, Tehran, and Bushehr had the lowest impoverishment rate due to OOP. In all the study years, the average impoverishment due to OOP was significantly higher in rural areas compared to urban areas. Provincial dispersion CV for this index did not have a constant trend.

Conclusion: The results of this study provide valuable evidence for policy-makers to estimate the impact of OOPs on household impoverishment. In order to reduce impoverishment due to OOP, supportive targeted interventions for vulnerable and low-income households, especially rural households, in addition to decreasing the share of OOP, are essential, such as developing health subsidies and improving insurance service packages.

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Type of Study: Research | Subject: Epidemiology
Received: 2017/02/21 | Accepted: 2017/02/21 | Published: 2017/02/21

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